junxiaoyao
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deep-learning-with-pytorch


			
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    <img style="float:left;width:150px;height:180px;border:1px solid black;margin:0px 10px 0px 0px;"
         src="./Stevens-DLPy-HI.png">
    Errata: July 17, 2020
    <br/><br/>
    Thank you for purchasing
    <a href="https://www.manning.com/books/deep-learning-with-pytorch" target="_blank"><i>Deep
        Learning with PyTorch</i></a>.
    Please post errata not listed below in this book's <a
        href="https://livebook.manning.com/book/deep-learning-with-pytorch/welcome/v-13/" target="_blank">LiveBook
    Errata thread</a>.
    We'll update this list as necessary. Thank you!

    <br/><br/><br/><br/>

    <h2>Page xxviii</h2>
    <p>The "about this cover" section incorrectly identifies the individual on the cover as Kardinian, but he is
        Ka<strong>bard</strong>ian.</p>

    <h2>Page 5</h2>
    <p>Figure 1.1 was incorrectly flipped left-to-right.</p>

    <h2>Page 252</h2>
    <p><i>The final paragraph of section 9.4.4 should read:</i></p>
    <p>
        Once you have the candidates file and at least one subset downloaded, uncompressed,
        and put in the correct location, you should be able to start running the examples in
        the next chapter. If you want to jump ahead, you can use the p2ch10_explore_data.ipynb
        Jupyter Notebook to get started. Otherwise, we’ll return to the notebook in
        more depth in the next chapter. Hopefully your downloads will finish before you start
        needing to use the data!
    </p>

    <h2>Page 258</h2>
    <p><i>The first code annotation should read:</i></p>
    <p>
        Counts the number of lines
        that end with 1, which
        indicates it is a nodule
    </p>
    <p><i>The end of the first paragraph should read:</i></p>
    <p>
        (it’s a Boolean value: 0 for a candidate that is not a nodule, e.g. a blood vessel, and 1 for a
        candidate that is a nodule, which can be malignant or benign). We have 1,351 of the nodule candidates
        flagged as nodules.
    </p>


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